Articles | Volume 16, issue 1
https://doi.org/10.5194/tc-16-237-2022
https://doi.org/10.5194/tc-16-237-2022
Research article
 | 
24 Jan 2022
Research article |  | 24 Jan 2022

Cross-platform classification of level and deformed sea ice considering per-class incident angle dependency of backscatter intensity

Wenkai Guo, Polona Itkin, Johannes Lohse, Malin Johansson, and Anthony Paul Doulgeris

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Latest update: 21 Apr 2024
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Short summary
This study uses radar satellite data categorized into different sea ice types to detect ice deformation, which is significant for climate science and ship navigation. For this, we examine radar signal differences of sea ice between two similar satellite sensors and show an optimal way to apply categorization methods across sensors, so more data can be used for this purpose. This study provides a basis for future reliable and constant detection of ice deformation remotely through satellite data.